Fine Particulate Matter Deposition in 3D Out-of-Plane Bifurcation Lung Airway by Chun-Chih Chuang, Justus Kavita Mutuku, Chih-Che Chueh, Anurita Selvarajoo, Wei-Hsin Chen

“…Abstract Fine particulate matter (PM2.5) produced from traffic-loaded urban areas, combustion processes during industrial processes, and dust resuspension during mechanical disturbances may cause considerable health hazards when it is inhaled, owing to an enhanced accumulation of this particulate material in the lung. …”
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On Classification of the Human Emotions from Facial Thermal Images: A Case Study Based on Machine Learning by Marius Sorin Pavel, Simona Moldovanu, Dorel Aiordachioaie

“…An augmentation process was applied to the initial raw images that led to the development of the two databases with added noise, as well as the subsequent augmentation of all images, i.e., rotation, reflection, translation and scaling. (2) Methods: The multiclass classification process was implemented through two subsets of methods, i.e., machine learning with random forest (RF), support vector machines (SVM) and k-nearest neighbor (KNN) algorithms and deep learning with the convolutional neural network (CNN) algorithm. (3) Results: The results obtained in this paper with the two subsets of methods belonging to the field of artificial intelligence (AI), together with the two categories of facial thermal images with added noise used as input, were very good, showing a classification accuracy of over 99% for the two categories of images, and the three corresponding classes for each. (4) Discussion: The augmented databases and the additional configurations of the implemented algorithms seems to have had a positive effect on the final classification results.…”
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geodl: An R package for geospatial deep learning semantic segmentation using torch and terra. by Aaron E Maxwell, Sarah Farhadpour, Srinjoy Das, Yalin Yang

“…Using geodl, geospatial raster-based data with varying numbers of bands, spatial resolutions, and coordinate reference systems are read and processed using the terra package, which makes use of C++ and allows for processing raster grids that are too large to fit into memory. …”
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Mapping and Spatial Analysis of the Development of the Administrative Borders of Stavropol Region in 1785–2021 by Igor Yurievich Katorgin, Alexander Nikolaevich Roman

“…The construction of geoinformation models was carried out using the calculation of rasters obtained as a result of vector-raster transformations of the boundaries of ATD units. …”
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Performance of Sentiment Classification on Tweets of Clothing Brands by Muhammad Shafiq Jalani, Hu Ng, Timothy Tzen Vun Yap, Vik Tor Goh

“…Following that, data pre-processing such as tokenization, filtering, stemming, and case normalization are performed to remove outliers.  …”
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Landslide hazard early warning method for rock slopes using a hybrid LSTM-SARIMA data-driven model. by Yongxin Dai, Zijian Li, Jingbiao Lu

“…This paper proposes a comprehensive technical system for landslide early hazard warning in open-pit mine slopes, encompassing the full process of monitoring data acquisition and processing, analysis of influencing mechanisms, intelligent algorithm-based prediction, and the construction of early hazard warning indicators. …”
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Representation Learning of Multi-Spectral Earth Observation Time Series and Evaluation for Crop Type Classification by Andrea González-Ramírez, Clement Atzberger, Deni Torres-Roman, Josué López

“…This averaged reconstruction difference vector is the base for the representations and the subsequent classification. …”
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The Classification of Metastatic Spine Cancer and Spinal Compression Fractures by Using CNN and SVM Techniques by Woosik Jeong, Chang-Heon Baek, Dong-Yeong Lee, Sang-Youn Song, Jae-Boem Na, Mohamad Soleh Hidayat, Geonwoo Kim, Dong-Hee Kim

“…Using these preprocessed datasets, convolutional neural network (CNN) and support vector machine (SVM) models were built. The T1-weighted image-based CNN model demonstrated high sensitivity (1.00) and accuracy (0.98) in identifying metastatic spine cancer, particularly with data processed by Otsu’s binarization and Canny edge detection, achieving exceptional performance in detecting cancerous cases. …”
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Force Measurement Technology of Vision‐Based Tactile Sensor by Bin Fang, Jie Zhao, Nailong Liu, Yuhao Sun, Shixin Zhang, Fuchun Sun, Jianhua Shan, Yiyong Yang

“…Marker‐type vision‐based tactile sensors (VTS) realize force sensing by calibrating marker vector information. The tactile visualization can provide high‐precision and multimodal force information to promote robotic dexterous manipulation development. …”
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Efficient automated detection of power quality disturbances using nonsubsampled contourlet transform & PCA-SVM by Pampa Sinha, Kaushik Paul, Asit Mohanty, IM Elzein, Chandra Sekhar Mishra, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Abdulrahman Al Ayidh, Ahmed Althobaiti, Hany S Hussein, Thamer AH Alghamdi, Ahmed M Ewais

“…These optimized features are used for training a multi-class support vector machine, with its parameters further optimized for enhanced classification accuracy. …”
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Design optimization of a lightweight secondary mirror assembly for a 1-m class ground telescope for satellite laser ranging by Jaehyun Lee, Kisoo Park, Eui Seung Son, Suseong Jeong, Do-Won Kim, Han-Gyol Oh, Pilseong Kang, Hyug-Gyo Rhee

“…Based on our design, the M2 was fabricated and processed, and we demonstrated its assembly process and surface quality test.…”
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Spatial patterning of chloroplasts and stomata in developing cacao leaves by Insuck Baek, Seunghyun Lim, Visna Weerarathne, Dongho Lee, Jacob Botkin, Silvas Kirubakaran, Sunchung Park, Moon S. Kim, Lyndel W. Meinhardt, Ezekiel Ahn

“…To the best of our knowledge, this is the first report that combines microscopic data and machine learning analysis to investigate the leaf developmental process at stage C in cacao.…”
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Evaluation of the Electromagnetic Behavior of TiC/Ti3AlC2 Ceramic Matrix Composites Synthesized by in Situ Method by Kh. Zamani, A. Ghasemi, M. Tavoosi, Gh. Gordani

“…In this case, the milling process and secondary heat treatment were used for the synthesis of the composite. …”
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Enhancing medical image privacy in IoT with bit-plane level encryption using chaotic map by Fatima Asiri, Wajdan Al Malwi, Tamara Zhukabayeva, Ibtehal Nafea, Abdullah Aziz, Nadhmi A. Gazem, Abdullah Qayyum

“…Using the Chen chaotic system, three random number vectors are generated. The first two vectors are employed to shuffle each bit plane of the plaintext image, rearranging rows and columns. …”
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Evaluating soiling effects to optimize solar photovoltaic performance using machine learning algorithms by Muhammad Faizan Tahir, Anthony Tzes, Tarek H.M. El-Fouly, Mohamed Shawky El Moursi, Nauman Ali Larik

“…Additionally, machine learning algorithms such as artificial neural networks, support vector machines, regression trees, ensemble of regression trees, Gaussian process regression, efficient linear regression, and kernel methods are employed to predict power reduction due to soiling and soiling losses across various soiling percentages. …”
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Functional MRI Assessment of Brain Activity Patterns Associated with Reading in Medulloblastoma Survivors by Josue L. Dalboni da Rocha, Ping Zou Stinnett, Matthew A. Scoggins, Samuel S. McAfee, Heather M. Conklin, Amar Gajjar, Ranganatha Sitaram

“…Alterations in brain regions involved in visual processing and orthographic recognition during rapid naming tasks imply disruptions in the ventral visual pathway associated with normal orthographic processing. …”
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A generalized superposition-based method for loss allocation in active distribution networks: Introducing effective current concept by Mohammad Bayat, Masoud Aghabigloo, Ali Asghar Ghadimi

“…By leveraging the concept of “effective current”, derived through a vector projection approach, our method offers a practical and scalable solution for branch loss allocation in active distribution networks. …”
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Enhancing acute leukemia classification through hybrid fuzzy C means and random forest methods by K. Lakshmi Narayanan, R. Santhana Krishnan, Y. Harold Robinson, S. Vimal, Tarik A. Rashid, Chetna Kausha, Md. Mehedi Hassan

“…Normally, entire blood counts image analysis and diagnosis are done manually which is an inaccurate and time-intensive process. In this proposed method the classification is tested with two Machine Learning algorithms which are Hybrid Fuzzy C Means (FCM) and Random Forest algorithm (RF) and Support Vector Machine for the detection and classification of Acute Leukemia disease and their performance was evaluated. …”
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Harmonizer: A Universal Signal Tokenization Framework for Multimodal Large Language Models by Amin Amiri, Alireza Ghaffarnia, Nafiseh Ghaffar Nia, Dalei Wu, Yu Liang

“…In summary, Harmonizer integrates natural language processing and signal processing into a coherent tokenization paradigm for efficient, interpretable multimodal learning.…”
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Optimizing Pre-Trained Code Embeddings With Triplet Loss for Code Smell Detection by Ali Nizam, Ertugrul Islamoglu, Omer Kerem Adali, Musa Aydin

“…Code embedding represents code semantics in vector form. Although code embedding-based systems have been successfully applied to various source code analysis tasks, further research is required to enhance code embedding for better code analysis capabilities, aiming to surpass the performance and functionality of static code analysis tools. …”
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